Site Reliability Engineer II

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues.

We are looking for a talented Site Reliability Engineer (SRE) with strong Java/Kotlin software engineering skills to join our team in Bengaluru, India. In this role, you will help enhance the reliability, resiliency, and operational excellence of mission-critical systems through software engineering, automation, observability, and proactive failure prevention. You will leverage modern engineering practices and emerging AI capabilities to improve incident diagnostics, accelerate recovery, automate operational workflows, and reduce service disruptions. Working alongside experienced engineers, you will contribute to building scalable, highly available systems that deliver exceptional experiences for our customers.

- 4+ years of professional experience in software engineering, Site Reliability Engineering, DevOps, or related technical disciplines, or equivalent practical experience.
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Strong programming skills in Java, Kotlin, or Python, with experience developing production-quality applications, automation tools, and distributed services.
- Strong understanding of data structures, algorithms, object-oriented programming, system design, and software engineering principles.
- Experience designing, developing, testing, and supporting RESTful APIs, microservices, and distributed applications using technologies such as Java/J2EE, Spring Boot, Kotlin, or Python.
- Working knowledge of multithreading, concurrency, application performance tuning, and troubleshooting.
- Experience with CI/CD tools and workflows such as Jenkins, Maven, Git, or similar technologies.
- Experience with relational or NoSQL databases such as DB2, PostgreSQL, Redis, or Couchbase.
- Hands-on experience with application observability, including OpenTelemetry, metrics, logs, distributed tracing, and monitoring platforms such as Prometheus, Grafana, or Splunk.
- Familiarity with resilience engineering practices such as NALSD, failure mode analysis, chaos engineering, SLOs, SLIs, and error budgets.
- Experience investigating production issues, performing root cause analysis, and implementing corrective actions.
- Familiarity with AI-assisted software development, including SDD, prompt engineering, and AI-supported coding, testing, and debugging.
- Understanding of Generative AI concepts such as LLMs, RAG, context engineering, and agentic orchestration using LangGraph or similar frameworks.
- Awareness of AI evaluation, safety, and observability concepts, including tools such as Promptfoo, NeMo Guardrails, and AI tracing frameworks.
- Ability to independently deliver moderately complex engineering tasks and collaborate effectively with cross-functional teams.
- Strong analytical, problem-solving, and communication skills.